Generative Social Science: Studies in Agent-Based Computational Modeling: Studies in Agent-Based Computational Modeling

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Princeton University Press, 2 jan. 2012 - 384 sidor
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Agent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation.

This book represents a powerful consolidation of Epstein's interdisciplinary research activities in the decade since the publication of his and Robert Axtell's landmark volume, Growing Artificial Societies. Beautifully illustrated, Generative Social Science includes a CD that contains animated movies of core model runs, and programs allowing users to easily change assumptions and explore models, making it an invaluable text for courses in modeling at all levels.

 

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Innehåll

The Generativist Manifesto
1
AgentBased Computational Models and Generative Social Science
4
Confession of a Wandering Bark
47
Remarks on the Foundations of AgentBased Generative Social Science
50
Equilibrium
72
NonExplanatory Equilibria An Extremely Simple Game with Mostly Unattainable Fixed Points ...
75
Large Effect of a Subtle Rule Change
86
Generating Civilizations The 1050 Project and the Artificial Anasazi Model
88
Generating Zones of Cooperation in the Prisoners Dilemma Game
196
Zones of Cooperation in Demographic Prisoners Dilemma
199
Generating Norm Maps in the Demographic Coordination Game
222
Generating Thoughtless Conformity to Norms
225
Learning to be Thoughtless Social Norms and Individual Computation
228
Generating Patterns of Spontaneous Civil Violence
245
Modeling Civil Violence An AgentBased Computational Approach
247
Generating Epidemic Dynamics
271

Understanding Anasazi Culture Change through AgentBased Modeling
90
Population Growth and Collapse in a Multiagent Model of the Kayenta Anasazi in Long House Valley ...
117
The Evolution of Social Behavior in the Prehistoric American Southwest
130
Generating Patterns in the Timing of Retirement
144
Coordination in Transient Social Networks An AgentBased Computational Model of the Timing of Retirement ...
146
Generating Classes without Conquest
175
The Emergence of Classes in a MultiAgent Bargaining Model
177
Toward a Containment Strategy for Smallpox Bioterror An IndividualBased Computational Approach ...
277
Generating Optimal Organizations
307
Growing Adaptive Organizations An AgentBased Computational Approach
309
Coda
345
Index
349
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Om författaren (2012)

Joshua M. Epstein is a Senior Fellow in Economic Studies at the Brookings Institution, a founding member of the Brookings-Johns Hopkins Center on Social and Economic Dynamics, and a member of the External Faculty of the Santa Fe Institute. He is the coauthor of Growing Artificial Societies: Social Science from the Bottom Up and the author of Nonlinear Dynamics, Mathematical Biology, and Social Science.

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